Rules and context
Policies, procedures, internal and regulatory requirements, according to the organization's interpretation and configuration.
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AI for operational governance
Governance Execution Layer
From document management to putting policies, controls and best practices into action.
Documents say what needs to be done.
Our solution helps ensure it gets done.
Intent
Governance
Execution LayerRules · Evidence
Authority · Exceptions
ExecutionExecution LayerRules · Evidence
Authority · Exceptions
Knowledge that informs decisions
Can this action be executed?
A knowledge base answers: “What does it say?”
The Governance Execution Layer uses the applicable context to help check the conditions for an action before allowing it to continue.
- Which controls must be applied?
- Is there sufficient evidence?
- Who has the authority to decide?
- Is there an exception or risk that requires formal acceptance?
When necessary, and according to configured controls, the solution can prevent the process from advancing.
Between intent and execution
A digital manager that checks the conditions for moving forward.
A layer between users, AI, documents and processes that helps check rules and route outstanding issues to the appropriate decision-maker.
People and authority
Responsibilities, approval levels and human confirmations required for each decision.
Evidence and continuity
Supporting documents, dependencies, outstanding issues, dates, validity periods and review cycles.
Exceptions and risks
Justifications, exceptions and risks that must be stated explicitly and formally accepted.
Real-world application · Anonymized scenario
When AI questioned an instruction.
In a document workflow, the solution was asked to mark documents as reviewed and approved and complete missing information.
The solution recognized that this could create a record without adequate supporting evidence and paused processing.
Before proceeding, it requested confirmation of the effective approval date, the approver's authority, formal representation, validity of evidence and acceptance of residual risks.
The process resumed only after the necessary confirmations.
AI was given more than the authority to act.
It was given the responsibility to question.
From document to executable control
Requirements that guide the work.
Policies
Can move from written references to active guidance at the point of decision.
Procedures
Define sequences, checkpoints and conditions for continuing.
Regulation
Can be included in the verification context, according to the organization's interpretation.
Best practices
Act as boundaries and guidance embedded in the process.
Authorizations
Can require confirmation from the appropriate authority before certain actions.
Exceptions
Can be formalized, justified and recorded alongside the decision.
Decision trail · Audit trail
Evidence is created alongside the process.
With the appropriate configuration, each decision can generate a structured audit trail. Depending on the process, it includes:
- Request
- Rules considered
- Evidence
- Inconsistencies
- Questions
- Decision
- Exception / risk
- Resumption
- Outcome
Human validation · Human-in-the-loop
Automation does not eliminate human responsibility.
The solution must know where to stop.
Ambiguity, risk, missing evidence or the need for specific authority may require human intervention. Work resumes according to the approvals and responsibilities defined for the process.
- Pause
- Question
- Record
- Validate
- Resume
Application scenarios
Where decisions depend on rules.
Possibilities to assess according to each organization's processes, controls and integrations.
Cybersecurity and IT governance
Security policies, access, changes, vulnerabilities and technical controls.
Third-party and vendor management
Due diligence, contracts, risks, approvals and review cycles.
Compliance and regulatory requirements
Requirements, evidence, exceptions and responsibilities.
Additional applications
Quality management
Procedures, nonconformities and corrective actions.
Cloud and infrastructure governance
Approved architectures, technical standards, controls and exceptions.
Project governance
Validation stages, approvals, deliverables and mandatory criteria.
Corporate knowledge
Documentation, policies, processes, decisions and organizational knowledge in context.
What changes
From reference to execution oversight.
Before
With the Governance Execution Layer
BeforeStored knowledge
With the solutionKnowledge informs execution
BeforePolicies consulted manually
With the solutionPolicies can guide decisions at the right time
BeforeControls checked afterwards
With the solutionControls can prevent inappropriate actions
BeforeDependence on memory and discipline
With the solutionOrganizational context reused
BeforeExceptions difficult to reconstruct
With the solutionDecisions and exceptions can be traceable
BeforeEvidence collected afterwards
With the solutionEvidence can be captured as work progresses
Talk to INTRANET
Knowledge that informs.
Governance that intervenes.
More than 30 years of experience in enterprise technology, combined with AI to support operational governance.
If your organization relies on policies, evidence and approvals to operate, we can assess where an active governance layer could be applied.
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